Results 161 to 170 of about 137,775 (303)

The Association of Vertically Integrated Delivery Networks on Lapses in Diabetic Retinopathy Care and Presenting Diabetic Retinopathy Severity. [PDF]

Clin Ophthalmol
Yu SE, Tran D, Han D, Cai CX.
europepmc   +1 more source

The metabolic syndrome and severity of diabetic retinopathy

, 2015
John J Chen,1,2,* Lucas J Wendel,1,3,* Emily S Birkholz,1 John G Vallone,4 Anne L Coleman,5,6 Fei Yu,7 Vinit B Mahajan1,3,8 1Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA; 2Mayo Clinic, Rochester, MN, USA ...
Birkholz ES, Vallone JG, Coleman AL, Mahajan VB, Wendel LJ, Yu F, Chen JJ   +6 more
core  

The impacts of high refractive errors on self‐reported visual function and visual concern

Acta Ophthalmologica, EarlyView.
Abstract Purpose To examine the association between refractive errors and self‐reported visual function and visual concern, considering self‐perceived present eyesight, concerns about vision, accomplishing less and limitations in daily activities in an eye‐healthy cohort.
Jens Riis Møller, Arevak Saruhanian, Jens Rovelt, Josefine Freiberg, Marcel Reimann, Jeppe Nygård Samuelsen, Christina Eckmann‐Hansen, Miriam Kolko, Nina Jacobsen, FOREVER Consortium   +9 more
wiley   +1 more source

Low‐contrast visual acuity versus low‐luminance visual acuity in choroideremia

Clinical and Experimental Optometry, EarlyView., 2020
Clinical relevance Choroideremia is a progressive X‐linked inherited rod‐cone dystrophy. Patients present with nyctalopia and progressive visual field loss, but visual acuity remains well preserved early on. This study showed that low‐luminance visual acuity may be a useful clinical outcome measure during earlier disease stages.
Laura J Wood, Jasleen K Jolly, Colm D Andrews, Iain R Wilson, Doron Hickey, Jasmina Cehajic‐Kapetanovic, Robert E MacLaren   +6 more
wiley   +1 more source

Diabetic Retinopathy Detection: AI Models and Approaches. [PDF]

J Ophthalmol
Madi MMM, Farr PC, Bester D.
europepmc   +1 more source

Training and validation of an automated algorithm to differentiate no and minimal diabetic retinopathy from more severe stages in wide‐field images

Acta Ophthalmologica, EarlyView.
Abstract Purpose Diabetic retinopathy (DR) is a leading cause of blindness in the working‐age population. Screening is essential to identify and treat sight‐threatening stages prior to irreversible visual loss. This study aimed to train and validate an automated algorithm to identify no or minimal DR, potentially saving resources for specialist ...
Lars Morten Skollerud, Jakob Kristian Andersen, Sebastian Dinesen, Thiusius Rajeeth Savarimuthu, Jakob Grauslund   +4 more
wiley   +1 more source

Association of treated neovascular AMD with disability and mood disorders: A longitudinal nationwide study

Acta Ophthalmologica, EarlyView.
Abstract Purpose To describe the associations of treated neovascular AMD with the risk of disability, falls, fractures and mood disorders in a large sample representative of the French population. Methods Analyses were based on 77 582 individuals belonging to the ‘Echantillon Généraliste des Bénéficiaires’, a 1/97 random sample of the French population,
Cécile Delcourt, Emilie Hucteau, Sarra Gattoussi, Karine Pérès, Marie‐Noelle Delyfer, Catherine Helmer, Jean‐François Korobelnik   +6 more
wiley   +1 more source

Advances in the Role of the CD40-CD154 Pathway in the Pathogenesis of Diabetic Retinopathy. [PDF]

Int J Mol Sci
Subauste CS.
europepmc   +1 more source

Association between metabolic syndrome, macular structures and retinal vascular calibres in the Northern Finland Birth Cohort Eye Study

Acta Ophthalmologica, EarlyView.
Abstract Purpose We aimed to evaluate the association of metabolic syndrome (MetS) with macular thickness and retinal vascular calibres in the population‐based cohort (Northern Finland Birth Cohort). Methods The population of 2242 individuals was divided into MetS (n = 344) and control groups (n = 1898).
Jenni M. Huru, Oona Ahokas, Ilmari L. Leiviskä, Ville O. Saarela, M. Johanna Liinamaa   +4 more
wiley   +1 more source

Advanced CNN Deep Learning Model for Diabetic Retinopathy Classification. [PDF]

J Biomed Phys Eng
Sadek NA, Al-Dahan ZT, Rattan SA, Hussein AF, Geraghty B, Kazaili A.   +5 more
europepmc   +1 more source